DocumentCode
2344595
Title
A Block-Based Adaptive Three Stages Motion Estimation Using Early Termination for Anti-shaking
Author
Ahn, Sangwoo ; Jeung, Yeonchul ; Min, Kyeongyuk ; Kim, Jongpark ; Chong, Jongwha
Author_Institution
Dept. of Nanoscale Semicond. Eng., Hanyang Univ., Seoul, South Korea
fYear
2011
fDate
15-19 April 2011
Firstpage
336
Lastpage
340
Abstract
In this paper, a block-based adaptive three stages motion estimation using early termination which is used for anti-shaking is proposed. Low computational complexity and accurate motion estimation are demanded to anti-shaking for mobile phone. Therefore three stages which consist of the predicted motion vector (PMV), the two-bit transform using second derivatives (2BT-SD) and the two steps search (2SS) are performed stage-by-stage. The three stages are early terminated up to result of stage. So the trade-off between computational complexity and accuracy is mediated by the characteristics of early termination which is determined by characteristics of frames. To evaluate the proposed algorithm, peak signal-to-noise ratio of reconstructed frames and current frames is measured. And the proportions of each stage are used to evaluate computational complexity.
Keywords
computational complexity; image reconstruction; mobile radio; motion estimation; search problems; transforms; vectors; vibrations; 2BT-SD; 2SS; PMV; antishaking; block-based adaptive three stages motion estimation; computational complexity; mobile phone; motion estimation; peak signal-to-noise ratio; predicted motion vector; reconstructed frames; second derivatives; two steps search; two-bit transform; Accuracy; Computational complexity; Distortion measurement; Motion estimation; PSNR; Pixel; Transforms; anti-shake; block motion estimation; component; fast motion estimation; predicted motion vector; two steps search; two-bit transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
Conference_Location
Yunnan
Print_ISBN
978-1-4244-9712-6
Electronic_ISBN
978-0-7695-4335-2
Type
conf
DOI
10.1109/CSO.2011.313
Filename
5957674
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